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Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System

implementation of fuzzy-logic-based power-efficient reconfigurable multi-core architectures for Intel and Leone3 processors.;

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Applications of Fuzzy Logic Time Control in Industrial Automation

enhancement and consider the cost management of the product. A new approach of Fuzzy Logic Time Control Discrete Event System DEV provides an;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi;

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Tracking Performance Of Maglev System Using Type-2 Fuzzy Logic Control

of type-2 fuzzy logic systems. Uncertainty is an inherent part of intelligent systems used in real world applications. Conventional controllers;

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Soft Computing with NeuroFuzzy Systems

system in speed control of induction motor drives; neuro-fuzzy based interline power flow controller for real time power flow control;

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Applications of Fuzzy Logic in Planning and Operation of Smart Grids

Fuzzy logic has vast applications in power and electrical engineering. This collection is the first book to cover research advancements;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a;

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Multi-Sensor Data Fusion With MATLAB

sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It;

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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation

This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation;

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Uncertain Rule-Based Fuzzy Logic Systems

kinds of uncertainties can be handled within the framework of a common theory and set of design tools-fuzzy logic systems-by moving the original;

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Artificial Intelligence for Smarter Power Systems

kind of artificial intelligence - fuzzy logic. Fuzzy logic uses variables that may be any real number between 0 and 1;

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Evolutionary Multi-Objective System Design

Protein structure prediction problem Core assignment for efficient network-on-chip-based system design;

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Evolutionary Multi-Objective System Design

assignment for efficient network-on-chip-based system design;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy;

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Design and Real-time Implementation of a Fuzzy Vacuum Cleaner System

modelled in MATLAB and compared with the real time system. The fuzzy vacuum cleaner system has been validated through several real-time experiments;

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Fuzzy Control Systems

This book reviews fuzzy control systems. Chapter One presents a new class of fuzzy logic systems named type-2 fuzzy logic systems (T2FLS;

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Voltage Control Based on Fuzzy Adaptive Particle Swarm Optimization

of multi- objective function based on fuzzy set theory and adaptive particle swarm optimization. This methodology is applied to get a solution to;

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Fuzzy Logic For Business, Finance, And Management (2nd Edition)

, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems;

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Computer-Based Industrial Control

control, expert systems and fuzzy logic control. The components consist of sensors and actuators of various types. The subsystems covered are;

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Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation

This book provides a technical approach to a Business Resilience System with its Risk Atom and Processing Data Point based on fuzzy logic;

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Multi-Agent Systems

monograph investigates the platoon control issue by combining SMC technique with neural network and fuzzy logic system approximation methods.;

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Multi-Agent Systems

monograph investigates the platoon control issue by combining SMC technique with neural network and fuzzy logic system approximation methods.;

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Fuzzy Control Systems

solutions. Control systems based on the fuzzy logic theory can become more functional and flexible in comparison with conventional control systems;

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Edge Detection Methods Based on Generalized Type 2 Fuzzy Logic

type-2 fuzzy logic systems.;

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Multi-Core Embedded Systems

, blending processors and configurable hardware in a power-efficient manner. Multi-Core Embedded Systems presents a variety of perspectives;

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Fuzzy Controller Design

, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs;

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Fuzzy Logic

. In addition, fuzzy logic provides an inference structure that enables the human reasoning capabilities to be applied to artificial knowledge-based;

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